Dataset Information

Characterizing the Variation in Safflower Seed Viability under Different Storage Conditions through Lipidomic and Proteomic Analyses

ABSTRACT: Proteomic data were used to analyze the main metabolic pathways of safflower seeds

ORGANISM(S): Carthamus Oxyacanthus

SUBMITTER: Jiang Chen

PROVIDER: PXD059326 | iProX | Tue Dec 31 00:00:00 GMT 2024

REPOSITORIES: iProX

ACCESS DATA

Publications

Characterizing the variation in safflower seed viability under different storage conditions through lipidomic and proteomic analyses.

Peng Yanni Y Hao Zhiyu Z Zhou Yanxun Y Hu Yueying Y Chen Chao C Xian Bin B Xi Ziqing Z Ren Chaoxiang C Pei Jin J Chen Jiang J

Scientific reports 20250317 1

The aging of seeds seriously affects their yield. Vacuum and low temperatures have been shown to prolong seed life and delay seed senescence. However, the underlying mechanisms that control these processes in safflower have yet to be explored. Therefore, this study aimed to study the structural, physiological and biochemical changes that occur in safflower seeds stored for one year at different temperatures and sealing conditions. X-ray imaging, germination percentage determination, determinatio ...[more]

PMID: 40097562

Similar Datasets

Project description:The aging of seeds seriously affects their yield. Vacuum and low temperatures have been shown to prolong seed life and delay seed senescence. However, the underlying mechanisms that control these processes in safflower have yet to be explored. Therefore, this study aimed to study the structural, physiological and biochemical changes that occur in safflower seeds stored for one year at different temperatures and sealing conditions. X-ray imaging, germination percentage determination, determination of water content, and TTC staining were utilized to analyze seed structure and viability. The structure of its outer surface was observed by scanning electron microscope, and the changes of catalase activity and malondialdehyde content were determined to understand its physiological and biochemical status. In addition, lipidomic and proteomic analyses were performed. The results showed that the germination percentage was improved under vacuum and low temperature conditions. Compared with high-temperature storage, low-temperature storage not only reduces the level of reactive oxygen species, but also facilitates the preservation of intact seed structure. Lipidomic analysis indicated the levels of PA reduced at low temperatures, while the content of PC, PE, PS, and PG exhibited an inverse correlation, increasing as temperatures decreased. Proteomic analysis identified two proteins (HH-013791-RA, HH-017308-RA) that may be involved in fatty acid metabolism and carbon metabolism respectively. Expression levels of these proteins were found to be lower at -18 °C, but increased with increasing storage temperatures. Storing safflower seeds under low-temperature and vacuum conditions significantly enhances germination rates and preserves seed structure by reducing reactive oxygen species levels. Two proteins (HH-013791-RA, HH-017308-RA) in the fatty acid metabolism and carbon metabolism pathways are temperature-regulated, and are involved in lipid metabolism, affecting seed structure and vitality.

Project description:Replicability is a well-established challenge in microbiome research with a variety of contributing factors at all stages, from sample collection to code execution. Here, we focus on voided urine sample storage conditions for urogenital microbiome analysis. Using urine samples collected from 10 adult females, we investigated the microbiome preservation efficacy of AssayAssure Genelock (Genelock), compared with no preservative, under different temperature conditions. We varied temperature over 48 h in order to examine the impact of conditions samples may experience with home voided urine collection and shipping to a central biorepository. The following common lab and shipping conditions were investigated: -20°C, ambient temperature, 4°C, freeze-thaw cycle, and heat cycle. At 48 h, all samples were stored at -80°C until processing. After generating 16S rRNA gene amplicon sequencing data using the highly sensitive KatharoSeq protocol, we observed individual variation in both alpha and beta diversity metrics below interhuman differences, corroborating reports of individual microbiome variability in other specimen types. While there was no significant difference in beta diversity when comparing Genelock versus no preservative, we did observe a higher concordance with Genelock samples shipped at colder temperatures (-20°C and 4°C) when compared with the samples shipped at -20°C without preservative. Our results indicate that Genelock does not introduce a significant amount of microbial bias when used on a range of temperatures and is most effective at colder temperatures. IMPORTANCE The urogenital microbiome is an understudied yet important human microbiome niche. Research has been stimulated by the relatively recent discovery that urine is not sterile; urinary tract microbes have been linked to health problems, including urinary infections, incontinence, and cancer. The quality of life and economic impact of UTIs and urgency incontinence alone are enormous, with $3.5 billion and $82.6 billion, respectively, spent in the United States. annually. Given the low biomass of urine, novelty of the field, and limited reproducibility evidence, it is critical to study urine sample storage conditions to optimize scientific rigor. Efficient and reliable preservation methods inform methods for home self-sample collection and shipping, increasing the potential use in larger-scale studies. Here, we examined both buffer and temperature variation effects on 16S rRNA gene amplicon sequencing results from urogenital samples, providing data on the consequences of common storage methods on urogenital microbiome results.

Dataset Information

Characterizing the Variation in Safflower Seed Viability under Different Storage Conditions through Lipidomic and Proteomic Analyses

Publications

Characterizing the variation in safflower seed viability under different storage conditions through lipidomic and proteomic analyses.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets